Automatic pattern recognition has uses in science and engineering, social sciences and finance. This book examines data complexity and its role in shaping theor

A self-contained and coherent account of probabilistic techniques, covering: distance measures, kernel rules, nearest neighbour rules, Vapnik-Chervonenkis theor

This is the first textbook on pattern recognition to present the Bayesian viewpoint. The book presents approximate inference algorithms that permit fast approxi

Containing twenty six contributions by experts from all over the world, this book presents both research and review material describing the evolution and recent

This book features high-quality research papers presented at Second Doctoral Symposium on Computational Intelligence (DoSCI-2021), organized by Institute of Eng